How to extract keywords from Mailshake Sales Emails using generative AI
How to Extract Keywords from Mailshake Sales Emails using Generative AI
As a salesperson, you know that every email you send to a prospect is an opportunity to close a deal. But with so many emails to send and so little time, it can be hard to keep track of what works and what doesn't. That's where keyword extraction comes in. In this post, we’ll show you how to use generative AI to automatically extract keywords from your Mailshake sales emails.
What is Keyword Extraction?
Keyword extraction is a natural language processing (NLP) technique that involves identifying the most important or relevant words or phrases in a piece of text. You can use it to extract key information and themes from text, which has many applications, such as search engine optimization (SEO), content analysis, and topic modeling.
Keyword extraction can be performed manually, but it can also be automated using machine learning algorithms. These algorithms learn to recognize patterns and features in the text that are associated with important words or phrases, and can be trained on a labeled dataset of text.
You can use keyword extraction to analyze and summarize large amounts of text data to quickly identify the most important information and themes.
Example Use Cases
Use cases for extracting keywords from Mailshake sales emails include:
- Identifying the most effective subject lines
- Understanding which features or benefits resonate with prospects
- Identifying common objections and addressing them proactively
- Personalizing outreach to improve response rates
- Improving the overall effectiveness of your sales outreach
Teams that might find these use cases helpful include: sales, marketing, and product.
Finding your input data and identifying preliminary keywords
You first need to identify the data that you want to work with. Here, we are looking at Mailshake sales emails. You can extract this data using the Mailshake API, export it in CSV format, query a list of emails from your data warehouse or BI tool, or copy and paste with an example email.
For more information on the Mailshake API see here: https://help.mailshake.com/en/articles/1539739-mailshake-api
Next, it can be helpful (but not necessary) to identify common keywords that you may want to extract from your sales emails. Generative AI tools can be used to both identify and measure frequency of keywords but also to suggest additional keywords you may not have been aware to look for. For example - you might find that recurring objections around pricing may provide insights into necessary changes to your pricing strategy or product offering.
Once you have your data and preliminary keywords identified, you can use generative AI to automatically extract keywords related to the topics and themes you want to analyze. This will help you improve the quality and effectiveness of your sales outreach, resulting in more closed deals and higher revenue.
By using generative AI to extract keywords from your Mailshake sales emails, you can quickly identify the most important information and themes. This will help you improve the quality and effectiveness of your sales outreach, resulting in more closed deals and higher revenue.